Customer feedback survey templates

Listen to your customers to build better products and experiences.

StatFigure
Total customer feedback templates61
Most-used templateNet Promoter Score survey
Short survey completion rate
(1-10 questions)
92.2%
Medium survey completion rate
(11-20 questions)
87.0%
Long survey completion rate
(21+ questions)
83.9%
Average completion rate91.4%
Average question count8.2
Audience panel
(US)
1 million+ active users

A frustrated customer rarely tells you they are leaving. They just leave. A customer feedback survey asks your customers directly about their experience, so you spot the friction early and fix it before it turns into churn. These 61 templates cover the whole relationship: satisfaction, service, post-purchase, website, app, and product feedback.

On SurveyMonkey, you build the survey around the metric that fits the question. Customer satisfaction score (CSAT) rates one experience, Customer Effort Score (CES) measures how hard a task felt, and Net Promoter Score (NPS) tracks overall loyalty on a 0-10 "how likely to recommend" scale. All three are built-in question types and combine in a single survey. SurveyMonkey Genius, an AI tool that scores your draft, predicts the completion rate and flags weak questions before you send.

Templates in this category complete at a 91.4% average rate across about eight questions. Short surveys of 1-10 questions finish at 92.2%; those past 21 settle at 83.9%. When you need a broader read than your own list provides, the SurveyMonkey Audience panel reaches more than 1 million active US users and returns results in minutes.

Open-ended replies do not have to pile up unread. Sentiment analysis tags each comment as positive, negative, or neutral, until the themes customers keep raising surface in a word cloud. For the wider program, from cadence to question design, see our customer feedback program guide.

  1. Pick a template on this page that matches the moment you want to measure, or start from the customer satisfaction survey template.
  2. Choose your metric. Add a CSAT, CES, or NPS question, depending on whether you are scoring one interaction, one task, or the whole relationship.
  3. Add one open-ended "why" follow-up so a number comes with a reason behind it.
  4. Run SurveyMonkey Genius on the draft to check the predicted completion rate and tighten any questions it flags.
  5. Send it where the experience happened. Use an email invite, a web link, or an embedded form, and turn on reminders to lift the response rate.
  6. Launch and read results. The dashboard tracks scores over time, while sentiment analysis and word clouds turn open-ended comments into themes you can act on.
  • After a purchase: Send a post-purchase survey to learn whether the product and the buying experience matched what the customer expected.
  • After a support interaction: Trigger a customer service feedback survey once a ticket or chat closes, while the experience is still fresh.
  • On your website or in your app: Drop a feedback survey on a key page or screen to catch usability issues the analytics will not explain.
  • On a regular loyalty pulse: Field an NPS survey on a fixed cadence so you watch the relationship trend rather than read one snapshot.
  • To map the full journey: Run feedback at each stage to see where satisfaction rises and dips. Box built a 360-degree customer view this way.
  • CX and customer insights professionals: They own satisfaction and loyalty across the journey, and they want fast, continuous feedback that flags issues early.
  • Customer support managers: They tie feedback to specific interactions so coaching and process fixes have evidence behind them.
  • Marketing and small-business owners: They want expert-built templates and clean reporting without a research background.
  • Keep it short: Surveys of 1-10 questions complete at 92.2% against 83.9% past 21, so ask the score plus one follow-up and stop.
  • Match the metric to the question: Use CSAT for a single experience, CES for task difficulty, and NPS for loyalty, rather than forcing one number to do all three jobs.
  • Close the loop: Follow up on low scores so customers see that feedback leads to action, which protects the relationship and your next response rate.
  • Trust the quality filter: AI response-quality filtering flags gibberish, profanity, and speeders, so you clean the data once before you report it to leadership.
  • What is the best customer feedback survey tool?
  • Which metric should I use: CSAT, CES, or NPS?
  • How do I get more people to finish my customer feedback survey?
  • How do I make sense of open-ended customer comments?
  • How do I follow up after a customer leaves low feedback?

NPS, Net Promoter & Net Promoter Score are registered trademarks of Satmetrix Systems, Inc., Bain & Company and Fred Reichheld.